Methods and systems for detection in an industrial internet of things data collection environment with self-organizing expert system detection for complex industrial, chemical process

Abstract

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to an industrial chemical process; a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and an expert system detection circuit structured to detect a process indicator in response to the plurality of detection values, and to initiate a self-organizing data collection response as a result of the process indicator detection.

What is claimed is: 
     
       1. A monitoring system for data collection in an industrial environment, the system comprising:
 a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to an industrial chemical process; 
 a data acquisition circuit structured to interpret a plurality of detection values from collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and 
 an expert system detection circuit structured to detect a process indicator in response to the plurality of detection values, and to initiate a self-organizing data collection response as a result of the process indicator detection, 
 wherein the self-organizing data collection response modifies a data collection routine, and 
 wherein the modification of the data collection routine modifies an activation state for at least one sensor comprising one of the data collection points. 
 
     
     
       2. The system of  claim 1 , wherein the process indicator is a detection of at least one of a fault, failure, state change, or process change. 
     
     
       3. The system of  claim 1 , wherein the expert system detection circuit includes an expert system diagnostic tool. 
     
     
       4. The system of  claim 1 , wherein the self-organizing data collection response includes utilization of a self-organizing data pool. 
     
     
       5. The system of  claim 1 , wherein the data collection points further comprise a self-organizing sensor swarm, and wherein the self-organizing data collection response modifies data collection of the self-organizing sensor swarm. 
     
     
       6. The system of  claim 1 , wherein the modification of the data collection routine modifies a detection parameter. 
     
     
       7. A computer-implemented method for data collection in an industrial environment, the method comprising:
 collecting data from a plurality of input channels communicatively coupled to a data collector operationally coupled to an industrial chemical process; 
 interpreting a plurality of detection values from the collected data with a data acquisition circuit, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and 
 utilizing an expert system detection circuit to detect a process indicator in response to the plurality of detection values, and to perform a self-organizing data collection response as a result of the detected process indicator, 
 wherein performing the self-organizing data collection response further comprises at least one of modifying a data storage trajectory or modifying a data processing location. 
 
     
     
       8. The method of  claim 7 , wherein detecting the process indicator comprises detecting at least one of a fault, failure, state change, or process change. 
     
     
       9. The method of  claim 7 , wherein performing the self-organizing data collection response further comprises utilizing a self-organizing data pool. 
     
     
       10. The method of  claim 7 , wherein performing the self-organizing data collection response further comprises modifying data collection of a self-organizing sensor swarm. 
     
     
       11. The method of  claim 7 , wherein performing the self-organizing data collection response further comprises modifying a data collection routine. 
     
     
       12. An apparatus for monitoring data collection in an industrial environment, the apparatus comprising:
 a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to an industrial chemical process; 
 a data acquisition circuit structured to interpret a plurality of detection values from collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and 
 an expert system detection circuit structured to detect a process indicator in response to the plurality of detection values, and to initiate a self-organizing data collection response as a result of the process indicator detection, 
 wherein the self-organizing data collection response modifies a data collection routine, and 
 wherein the modification of the data collection routine modifies a location for at least one sensor comprising one of the data collection points. 
 
     
     
       13. The apparatus of  claim 12 , wherein the process indicator is a detection of at least one of a fault, failure, state change, or process change. 
     
     
       14. The apparatus of  claim 12 , wherein the expert system detection circuit includes an expert system diagnostic tool. 
     
     
       15. The apparatus of  claim 12 , wherein the self-organizing data collection response includes utilization of a self-organizing data pool. 
     
     
       16. The apparatus of  claim 12 , wherein the self-organizing data collection response modifies a data collection routine.